Upload 11 files
Browse files- .gitattributes +1 -0
- README.md +202 -0
- adapter_config.json +42 -0
- adapter_model.bin +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +33 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
- trainer_state.json +403 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: google/gemma-3-4b-it
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.15.2
|
adapter_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "google/gemma-3-4b-it",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"r": 16,
|
| 24 |
+
"rank_pattern": {},
|
| 25 |
+
"revision": null,
|
| 26 |
+
"target_modules": [
|
| 27 |
+
"up_proj",
|
| 28 |
+
"fc2",
|
| 29 |
+
"out_proj",
|
| 30 |
+
"o_proj",
|
| 31 |
+
"fc1",
|
| 32 |
+
"v_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"q_proj",
|
| 35 |
+
"k_proj",
|
| 36 |
+
"down_proj"
|
| 37 |
+
],
|
| 38 |
+
"task_type": "CAUSAL_LM",
|
| 39 |
+
"trainable_token_indices": null,
|
| 40 |
+
"use_dora": false,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d15819dd148915f88de894d2184cc7d25b1678fc97bb6d7adbb0efc933568cf9
|
| 3 |
+
size 154294986
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2969c28516ecb1c6ab1b2fb1a582fccd8b5c74002693dfcef6bece5a78ffd47
|
| 3 |
+
size 238821798
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ed7706f2a064488c44401ec8b9ffeef1dcd4dfcb0d6ec0279aa756079838dbbe
|
| 3 |
+
size 14244
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2985260f3d01d01c1cd0ea4d80cf8038f9cbe9a9b731c7e39517c1a93ca3bb5f
|
| 3 |
+
size 1064
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"boi_token": "<start_of_image>",
|
| 3 |
+
"bos_token": {
|
| 4 |
+
"content": "<bos>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
"eoi_token": "<end_of_image>",
|
| 11 |
+
"eos_token": {
|
| 12 |
+
"content": "<eos>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false
|
| 17 |
+
},
|
| 18 |
+
"image_token": "<image_soft_token>",
|
| 19 |
+
"pad_token": {
|
| 20 |
+
"content": "<pad>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
},
|
| 26 |
+
"unk_token": {
|
| 27 |
+
"content": "<unk>",
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"normalized": false,
|
| 30 |
+
"rstrip": false,
|
| 31 |
+
"single_word": false
|
| 32 |
+
}
|
| 33 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
|
| 3 |
+
size 33384568
|
tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
trainer_state.json
ADDED
|
@@ -0,0 +1,403 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 2.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 20958,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.047714476572192,
|
| 14 |
+
"grad_norm": 0.023498278111219406,
|
| 15 |
+
"learning_rate": 0.00019523809523809525,
|
| 16 |
+
"loss": 0.4674,
|
| 17 |
+
"mean_token_accuracy": 0.8906204112768173,
|
| 18 |
+
"num_tokens": 360041.0,
|
| 19 |
+
"step": 500
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"epoch": 0.095428953144384,
|
| 23 |
+
"grad_norm": 3.823547601699829,
|
| 24 |
+
"learning_rate": 0.00019046664758087605,
|
| 25 |
+
"loss": 0.3194,
|
| 26 |
+
"mean_token_accuracy": 0.9205255397558212,
|
| 27 |
+
"num_tokens": 727772.0,
|
| 28 |
+
"step": 1000
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"epoch": 0.143143429716576,
|
| 32 |
+
"grad_norm": 0.0001839943724917248,
|
| 33 |
+
"learning_rate": 0.00018569519992365686,
|
| 34 |
+
"loss": 0.2674,
|
| 35 |
+
"mean_token_accuracy": 0.9327976078987121,
|
| 36 |
+
"num_tokens": 1097406.0,
|
| 37 |
+
"step": 1500
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.190857906288768,
|
| 41 |
+
"grad_norm": 4.199777126312256,
|
| 42 |
+
"learning_rate": 0.00018092375226643766,
|
| 43 |
+
"loss": 0.326,
|
| 44 |
+
"mean_token_accuracy": 0.920593403160572,
|
| 45 |
+
"num_tokens": 1462220.0,
|
| 46 |
+
"step": 2000
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 0.23857238286096002,
|
| 50 |
+
"grad_norm": 5.751025676727295,
|
| 51 |
+
"learning_rate": 0.00017615230460921847,
|
| 52 |
+
"loss": 0.2693,
|
| 53 |
+
"mean_token_accuracy": 0.936355301618576,
|
| 54 |
+
"num_tokens": 1828224.0,
|
| 55 |
+
"step": 2500
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 0.286286859433152,
|
| 59 |
+
"grad_norm": 3.971045732498169,
|
| 60 |
+
"learning_rate": 0.00017138085695199925,
|
| 61 |
+
"loss": 0.2827,
|
| 62 |
+
"mean_token_accuracy": 0.9261101527214051,
|
| 63 |
+
"num_tokens": 2211342.0,
|
| 64 |
+
"step": 3000
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"epoch": 0.33400133600534404,
|
| 68 |
+
"grad_norm": 2.15079665184021,
|
| 69 |
+
"learning_rate": 0.00016660940929478005,
|
| 70 |
+
"loss": 0.2461,
|
| 71 |
+
"mean_token_accuracy": 0.9350018633604049,
|
| 72 |
+
"num_tokens": 2572498.0,
|
| 73 |
+
"step": 3500
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.381715812577536,
|
| 77 |
+
"grad_norm": 0.5263189077377319,
|
| 78 |
+
"learning_rate": 0.00016183796163756083,
|
| 79 |
+
"loss": 0.2534,
|
| 80 |
+
"mean_token_accuracy": 0.9374513441324234,
|
| 81 |
+
"num_tokens": 2949312.0,
|
| 82 |
+
"step": 4000
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 0.42943028914972803,
|
| 86 |
+
"grad_norm": 0.004941379185765982,
|
| 87 |
+
"learning_rate": 0.00015706651398034164,
|
| 88 |
+
"loss": 0.2395,
|
| 89 |
+
"mean_token_accuracy": 0.9378743978738785,
|
| 90 |
+
"num_tokens": 3314910.0,
|
| 91 |
+
"step": 4500
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 0.47714476572192005,
|
| 95 |
+
"grad_norm": 0.007795912679284811,
|
| 96 |
+
"learning_rate": 0.00015229506632312244,
|
| 97 |
+
"loss": 0.2284,
|
| 98 |
+
"mean_token_accuracy": 0.9409392136335373,
|
| 99 |
+
"num_tokens": 3686624.0,
|
| 100 |
+
"step": 5000
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.5248592422941121,
|
| 104 |
+
"grad_norm": 0.0033825524151325226,
|
| 105 |
+
"learning_rate": 0.00014752361866590325,
|
| 106 |
+
"loss": 0.2145,
|
| 107 |
+
"mean_token_accuracy": 0.9464458491802216,
|
| 108 |
+
"num_tokens": 4063459.0,
|
| 109 |
+
"step": 5500
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 0.572573718866304,
|
| 113 |
+
"grad_norm": 3.8457958698272705,
|
| 114 |
+
"learning_rate": 0.00014275217100868402,
|
| 115 |
+
"loss": 0.2268,
|
| 116 |
+
"mean_token_accuracy": 0.9410561621189117,
|
| 117 |
+
"num_tokens": 4423993.0,
|
| 118 |
+
"step": 6000
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"epoch": 0.620288195438496,
|
| 122 |
+
"grad_norm": 0.020238121971488,
|
| 123 |
+
"learning_rate": 0.00013798072335146483,
|
| 124 |
+
"loss": 0.223,
|
| 125 |
+
"mean_token_accuracy": 0.9393890690803528,
|
| 126 |
+
"num_tokens": 4788203.0,
|
| 127 |
+
"step": 6500
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 0.6680026720106881,
|
| 131 |
+
"grad_norm": 0.0006973391864448786,
|
| 132 |
+
"learning_rate": 0.00013320927569424564,
|
| 133 |
+
"loss": 0.2434,
|
| 134 |
+
"mean_token_accuracy": 0.9404154337644577,
|
| 135 |
+
"num_tokens": 5162496.0,
|
| 136 |
+
"step": 7000
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.71571714858288,
|
| 140 |
+
"grad_norm": 0.0010198453674092889,
|
| 141 |
+
"learning_rate": 0.00012843782803702644,
|
| 142 |
+
"loss": 0.191,
|
| 143 |
+
"mean_token_accuracy": 0.9535960764884949,
|
| 144 |
+
"num_tokens": 5520427.0,
|
| 145 |
+
"step": 7500
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 0.763431625155072,
|
| 149 |
+
"grad_norm": 0.001297333394177258,
|
| 150 |
+
"learning_rate": 0.00012366638037980725,
|
| 151 |
+
"loss": 0.2167,
|
| 152 |
+
"mean_token_accuracy": 0.942195966720581,
|
| 153 |
+
"num_tokens": 5901763.0,
|
| 154 |
+
"step": 8000
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 0.8111461017272641,
|
| 158 |
+
"grad_norm": 6.195448398590088,
|
| 159 |
+
"learning_rate": 0.00011889493272258805,
|
| 160 |
+
"loss": 0.2305,
|
| 161 |
+
"mean_token_accuracy": 0.9376264967918396,
|
| 162 |
+
"num_tokens": 6272492.0,
|
| 163 |
+
"step": 8500
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.8588605782994561,
|
| 167 |
+
"grad_norm": 0.0025545568205416203,
|
| 168 |
+
"learning_rate": 0.00011412348506536883,
|
| 169 |
+
"loss": 0.2303,
|
| 170 |
+
"mean_token_accuracy": 0.9435879285335541,
|
| 171 |
+
"num_tokens": 6657487.0,
|
| 172 |
+
"step": 9000
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 0.906575054871648,
|
| 176 |
+
"grad_norm": 0.0006595577578991652,
|
| 177 |
+
"learning_rate": 0.00010935203740814964,
|
| 178 |
+
"loss": 0.179,
|
| 179 |
+
"mean_token_accuracy": 0.9520990616083145,
|
| 180 |
+
"num_tokens": 7022908.0,
|
| 181 |
+
"step": 9500
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 0.9542895314438401,
|
| 185 |
+
"grad_norm": 3.1752443313598633,
|
| 186 |
+
"learning_rate": 0.00010458058975093044,
|
| 187 |
+
"loss": 0.1827,
|
| 188 |
+
"mean_token_accuracy": 0.9488343714475632,
|
| 189 |
+
"num_tokens": 7376243.0,
|
| 190 |
+
"step": 10000
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 1.002004008016032,
|
| 194 |
+
"grad_norm": 0.001512572169303894,
|
| 195 |
+
"learning_rate": 9.980914209371123e-05,
|
| 196 |
+
"loss": 0.2101,
|
| 197 |
+
"mean_token_accuracy": 0.9424606282711029,
|
| 198 |
+
"num_tokens": 7749938.0,
|
| 199 |
+
"step": 10500
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 1.0497184845882241,
|
| 203 |
+
"grad_norm": 3.992393732070923,
|
| 204 |
+
"learning_rate": 9.503769443649203e-05,
|
| 205 |
+
"loss": 0.1309,
|
| 206 |
+
"mean_token_accuracy": 0.9618149808645249,
|
| 207 |
+
"num_tokens": 8127846.0,
|
| 208 |
+
"step": 11000
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 1.097432961160416,
|
| 212 |
+
"grad_norm": 0.00025509227998554707,
|
| 213 |
+
"learning_rate": 9.026624677927283e-05,
|
| 214 |
+
"loss": 0.1219,
|
| 215 |
+
"mean_token_accuracy": 0.9635183781385421,
|
| 216 |
+
"num_tokens": 8503956.0,
|
| 217 |
+
"step": 11500
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 1.145147437732608,
|
| 221 |
+
"grad_norm": 0.0013997952919453382,
|
| 222 |
+
"learning_rate": 8.549479912205364e-05,
|
| 223 |
+
"loss": 0.1235,
|
| 224 |
+
"mean_token_accuracy": 0.963010191321373,
|
| 225 |
+
"num_tokens": 8862553.0,
|
| 226 |
+
"step": 12000
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 1.1928619143048,
|
| 230 |
+
"grad_norm": 2.114091157913208,
|
| 231 |
+
"learning_rate": 8.072335146483443e-05,
|
| 232 |
+
"loss": 0.1271,
|
| 233 |
+
"mean_token_accuracy": 0.9629592669010162,
|
| 234 |
+
"num_tokens": 9233864.0,
|
| 235 |
+
"step": 12500
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 1.240576390876992,
|
| 239 |
+
"grad_norm": 0.277444452047348,
|
| 240 |
+
"learning_rate": 7.595190380761523e-05,
|
| 241 |
+
"loss": 0.1187,
|
| 242 |
+
"mean_token_accuracy": 0.9649668201208115,
|
| 243 |
+
"num_tokens": 9596971.0,
|
| 244 |
+
"step": 13000
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 1.288290867449184,
|
| 248 |
+
"grad_norm": 4.878781318664551,
|
| 249 |
+
"learning_rate": 7.118045615039604e-05,
|
| 250 |
+
"loss": 0.1226,
|
| 251 |
+
"mean_token_accuracy": 0.9633177869319915,
|
| 252 |
+
"num_tokens": 9966614.0,
|
| 253 |
+
"step": 13500
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 1.3360053440213762,
|
| 257 |
+
"grad_norm": 5.269028186798096,
|
| 258 |
+
"learning_rate": 6.640900849317683e-05,
|
| 259 |
+
"loss": 0.1336,
|
| 260 |
+
"mean_token_accuracy": 0.9619411797523498,
|
| 261 |
+
"num_tokens": 10338731.0,
|
| 262 |
+
"step": 14000
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 1.3837198205935681,
|
| 266 |
+
"grad_norm": 0.000423251127358526,
|
| 267 |
+
"learning_rate": 6.163756083595764e-05,
|
| 268 |
+
"loss": 0.1386,
|
| 269 |
+
"mean_token_accuracy": 0.9611272529363633,
|
| 270 |
+
"num_tokens": 10724381.0,
|
| 271 |
+
"step": 14500
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 1.43143429716576,
|
| 275 |
+
"grad_norm": 0.754705548286438,
|
| 276 |
+
"learning_rate": 5.6866113178738436e-05,
|
| 277 |
+
"loss": 0.1182,
|
| 278 |
+
"mean_token_accuracy": 0.9661157331466674,
|
| 279 |
+
"num_tokens": 11094900.0,
|
| 280 |
+
"step": 15000
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"epoch": 1.479148773737952,
|
| 284 |
+
"grad_norm": 0.0017857268685474992,
|
| 285 |
+
"learning_rate": 5.2094665521519235e-05,
|
| 286 |
+
"loss": 0.1175,
|
| 287 |
+
"mean_token_accuracy": 0.9679548003673554,
|
| 288 |
+
"num_tokens": 11454717.0,
|
| 289 |
+
"step": 15500
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.5268632503101442,
|
| 293 |
+
"grad_norm": 3.5908143520355225,
|
| 294 |
+
"learning_rate": 4.732321786430003e-05,
|
| 295 |
+
"loss": 0.11,
|
| 296 |
+
"mean_token_accuracy": 0.9671754879951477,
|
| 297 |
+
"num_tokens": 11832591.0,
|
| 298 |
+
"step": 16000
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 1.5745777268823362,
|
| 302 |
+
"grad_norm": 0.010208655148744583,
|
| 303 |
+
"learning_rate": 4.255177020708083e-05,
|
| 304 |
+
"loss": 0.115,
|
| 305 |
+
"mean_token_accuracy": 0.9662747744321823,
|
| 306 |
+
"num_tokens": 12223203.0,
|
| 307 |
+
"step": 16500
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 1.6222922034545282,
|
| 311 |
+
"grad_norm": 0.002450750907883048,
|
| 312 |
+
"learning_rate": 3.778032254986163e-05,
|
| 313 |
+
"loss": 0.1112,
|
| 314 |
+
"mean_token_accuracy": 0.9668832242488861,
|
| 315 |
+
"num_tokens": 12593144.0,
|
| 316 |
+
"step": 17000
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 1.6700066800267201,
|
| 320 |
+
"grad_norm": 0.004513042513281107,
|
| 321 |
+
"learning_rate": 3.300887489264243e-05,
|
| 322 |
+
"loss": 0.1004,
|
| 323 |
+
"mean_token_accuracy": 0.9708232057094573,
|
| 324 |
+
"num_tokens": 12954505.0,
|
| 325 |
+
"step": 17500
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 1.7177211565989121,
|
| 329 |
+
"grad_norm": 0.007037173956632614,
|
| 330 |
+
"learning_rate": 2.8237427235423232e-05,
|
| 331 |
+
"loss": 0.1114,
|
| 332 |
+
"mean_token_accuracy": 0.9671108702421188,
|
| 333 |
+
"num_tokens": 13307858.0,
|
| 334 |
+
"step": 18000
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 1.765435633171104,
|
| 338 |
+
"grad_norm": 0.015288141556084156,
|
| 339 |
+
"learning_rate": 2.3465979578204027e-05,
|
| 340 |
+
"loss": 0.1034,
|
| 341 |
+
"mean_token_accuracy": 0.9698293421268463,
|
| 342 |
+
"num_tokens": 13673816.0,
|
| 343 |
+
"step": 18500
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 1.813150109743296,
|
| 347 |
+
"grad_norm": 6.889008045196533,
|
| 348 |
+
"learning_rate": 1.869453192098483e-05,
|
| 349 |
+
"loss": 0.0977,
|
| 350 |
+
"mean_token_accuracy": 0.9710470995903016,
|
| 351 |
+
"num_tokens": 14038630.0,
|
| 352 |
+
"step": 19000
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 1.860864586315488,
|
| 356 |
+
"grad_norm": 2.6273930072784424,
|
| 357 |
+
"learning_rate": 1.3923084263765626e-05,
|
| 358 |
+
"loss": 0.0936,
|
| 359 |
+
"mean_token_accuracy": 0.9728796405792236,
|
| 360 |
+
"num_tokens": 14401139.0,
|
| 361 |
+
"step": 19500
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 1.90857906288768,
|
| 365 |
+
"grad_norm": 0.004859536420553923,
|
| 366 |
+
"learning_rate": 9.151636606546427e-06,
|
| 367 |
+
"loss": 0.0929,
|
| 368 |
+
"mean_token_accuracy": 0.9708857105970383,
|
| 369 |
+
"num_tokens": 14770982.0,
|
| 370 |
+
"step": 20000
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 1.9562935394598722,
|
| 374 |
+
"grad_norm": 0.4923778176307678,
|
| 375 |
+
"learning_rate": 4.380188949327226e-06,
|
| 376 |
+
"loss": 0.0963,
|
| 377 |
+
"mean_token_accuracy": 0.9713275592327117,
|
| 378 |
+
"num_tokens": 15136348.0,
|
| 379 |
+
"step": 20500
|
| 380 |
+
}
|
| 381 |
+
],
|
| 382 |
+
"logging_steps": 500,
|
| 383 |
+
"max_steps": 20958,
|
| 384 |
+
"num_input_tokens_seen": 0,
|
| 385 |
+
"num_train_epochs": 2,
|
| 386 |
+
"save_steps": 5000,
|
| 387 |
+
"stateful_callbacks": {
|
| 388 |
+
"TrainerControl": {
|
| 389 |
+
"args": {
|
| 390 |
+
"should_epoch_stop": false,
|
| 391 |
+
"should_evaluate": false,
|
| 392 |
+
"should_log": false,
|
| 393 |
+
"should_save": true,
|
| 394 |
+
"should_training_stop": true
|
| 395 |
+
},
|
| 396 |
+
"attributes": {}
|
| 397 |
+
}
|
| 398 |
+
},
|
| 399 |
+
"total_flos": 3.399363404153889e+17,
|
| 400 |
+
"train_batch_size": 1,
|
| 401 |
+
"trial_name": null,
|
| 402 |
+
"trial_params": null
|
| 403 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:daa47ddc719ecb3b675964f22519fd406d4261951c3c54a16f54cc2873eb4563
|
| 3 |
+
size 6328
|